#149 - Building Smart Apps with LLMs

In this episode, we discuss LLMs, how everything started, how they work, and how to use frameworks such as LangChain to develop intelligent applications with them. Guests Taha Bouhsine Sifeddine Nahhas Nouamane Tazi Notes 0:00:00 - Introduction and welcoming 0:05:33 - History of LLMs 0:12:00 - The role of transformers in LLMs 0:21:00 - How LLMs differ from other AI methods 0:26:00 - Emergent Abilities of Large Language Models 0:42:00 - HaggingFace and the role or open-source in LLMs 0:47:00 - Open source LLMs. 1:04:00 - Using LLMs to build smart apps. 1:39:00 - Advices for software engineers with no AI background to start with LLMs. 1:46:00 - Conclusion and goodbye. Links The Illustrated Transformer Transformers The Annotated Transformer State of GPT Sparks of AGI MiniGPT-4 H2O LLM Studio HuggingFace GPT4All llama LangChain Embracing AI-Powered Applications: A Developer’s Journey with LangChain OpenAI cookbook Jailbreak Chat MathsMaroc Prompt Engineering Emergent Abilities of Large Language Models Prepared and Presented by Youssouf EL Azizi